Track / Overview

Applying artificial intelligence (AI) and machine learning (ML) to the vast quantity of industrial data created by machines or sensors can be a game-changer for the manufacturing industry. The value proposition is clear. However, making AI projects successful is still challenging.

Through this track, we want to bring together relevant industry but also academic players to discuss:

  • How to pick successful AI projects for manufacturing?
  • Which solutions have shown to bring impact on production lines, quality management and supply chain?
  • What are new techniques to get deeper insights into the End-to-End manufacturing process?
  • How to scale the impact of AI initiatives across the whole company?

The AI & Manufacturing track will tackle these and many more pressing questions, featuring a range of talks and panels with leaders in academia, startups and industry. We also want to feature young blood and ideas, such as early-career researchers and startups

Track / Schedule


With Gaël Grosch, Yassir Benkhedda & Fabian Schramm

Making Machine Learning Models Useful in Industrial Manufacturing

With Mehmet Mercangöz

Automated Manufacturing Processes : Bring Tangible Benefits Quickly with AI Applications

With Alexis Roy & Mostafa Ajallooeian

How MLOps Drives Iteration Speed for Non-ML Practitioners

With Niels Uitterdijk

Real Life Applications of Deep Reinforcement Learning in Manufacturing

With William Heurdier

Cognitive Digital Twins

With Dimitris Kyritsis

Solving Complex Business Challenges with Machine Learning at the Edge

With Samir Araújo de Souza

Creating Global Impact through Data-Driven Optimization of the Manufacturing of Food and Feed

With Matthias Graeber

Data Labeling Not Required

With Lucas Vandroux


Human-in-the-loop Low cost manufacturing data labeling

With Walid Daboubi

Unsupervised Learning for Quality Control in Automated Manufacturing for the Automotive Industry

With Roman Klis & Enno de Lange

Applying Advanced Analytics to Manufacturing

With Telina Reil

Predicting Future Failures with ML at the Edge

With Ivan Scattergood

LaserSKI: Object Detection for Defect Detection in Semiconductors

With William Clemens


With Gaël Grosch & Yassir Benkhedda

Track / Speakers

William Clemens

Senior Machine Learning Scientist, dida

Matthias Graeber

Head of Data Science, Buhler Group

Fabian Schramm

Customer Engagement Manager, Unit8 SA

Gaël Grosch

Data Scientist, Unit8

Yassir Benkhedda

Machine Learning Engineer and Data Scientist, Unit8

Dimitris Kyritsis

Professor of ICT for Sustainable Manufacturing, EPFL

Mehmet Mercangöz

Reader, Imperial College London

Niels Uitterdijk

CTO, Amplo

Roman Klis

Senior Data Scientist, Johnson Electric Group

Alexis Roy

Head of BI & Advanced Analytics, Firmenich SA

Enno de Lange

Director, Digital Transformation, Johnson Electric Group

Lucas Vandroux

Co-founder, VU Engineering

Mostafa Ajallooeian

Engagement Director, Unit8

Samir Araújo de Souza

AI/ML Solutions Architect @ AWS

William Heurdier

Global Data&AI Specialist - Microsoft

Ivan Scattergood


Walid Daboubi


Telina Reil

Director Advanced Analytics, Abbott Established Pharmaceuticals

Track / Co-organizers

Fabian Schramm

Customer Engagement Manager, Unit8 SA

Gaël Grosch

Data Scientist, Unit8

Yassir Benkhedda

Machine Learning Engineer and Data Scientist, Unit8

AMLD EPFL 2022 / Tracks & talks

AMLD Keynote Session – Monday morning

Marcel Salathé, Lenka Zdeborová, Carmela Troncoso, Chiara Enderle, Patrick Barbey, Thomas Wolf, Gunther Jansen, Laure Willemin, Simon Hefti, Arthur Gassner

10:00-12:00 March 28Auditorium A

AI & Physics

Francesca Mignacco, Gert-Jan Both, Michael Unser, Thomas Asikis, Dalila Salamani, Pietro Rotondo, Tom Beucler, Giulio Biroli

12:30-18:00 March 285BC

AI & Pharma

Asif Jan, Jonas Richiardi, Patrick Schwab, Naghmeh Ghazaleh, Alexander Büsser, Carlos Ciller, Caibin Sheng, Silvia Zaoli, Félix Balazard, Giulia Capestro, Marianna Rapsomaniki, Martijn van Attekum

13:30-17:30 March 281BC

AMLD / Global partners